DataikuThe Platform for AI Success

JupyterFree software, open standards, and web services for interactive computing across all programming languages

Comparison · MLOps Platforms · weekly run Nov 2

Dataiku vs Jupyter

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Dataiku is the stronger AI pick in MLOps Platforms: it has a visibility score of 8.5 versus 4.6 for Jupyter.

You want the brand AI engines rank higher (8.5 vs 4.6)
You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or SOC 2 Type II or HIPAA or GxP or GDPR coverage
You prefer a larger, established vendor (1,001–5,000 employees)
Bridges data scientists and business teams for collaboration

Latest weekly run · Nov 2

The stronger value in each row is marked with a ✓.

Weekly runs over the last 60 days

Dataiku 0pp · Jupyter 0pp over 0 weekly runs.

Dataiku leads on 3 of 3 engines

ChatGPT

12.2%

3.3%

AI Mode

9.3%

7.4%

Perplexity

3.9%

3.1%

DataikuJupyter

0 engine answers name both brands

0Dataiku ranked higher

0Jupyter ranked higher

Dimension	Dataiku	Jupyter
Deployment	Runs on the clouds, data platforms and models a customer already has	Self-hosted on centralized on-premises or off-site infrastructure, scalable with Docker and Kubernetes; the project does not provide Jupyter as a service.
Compliance	ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR	—
Support	—	Community Discourse forum, Jupyter Security GitHub repository, Third-party Jupyter support companies
Founded	2013	2014
Headquarters	New York City, NY	Berkeley, United States
Employees	1,001–5,000	11–50
Funding	Series E · $600M raised	Foundation pledges (Sloan, Moore, Helmsley Charitable Trust)
Best for	Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance	Companies, classrooms and research labs that need interactive notebooks for data science, scientific computing and machine learning.